SOTAVerified

Image Restoration

Image Restoration is a family of inverse problems for obtaining a high quality image from a corrupted input image. Corruption may occur due to the image-capture process (e.g., noise, lens blur), post-processing (e.g., JPEG compression), or photography in non-ideal conditions (e.g., haze, motion blur).

Source: Blind Image Restoration without Prior Knowledge

Papers

Showing 921930 of 1459 papers

TitleStatusHype
Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction0
A Practical Contrastive Learning Framework for Single-Image Super-ResolutionCode1
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image PriorCode1
Learning Discriminative Shrinkage Deep Networks for Image DeconvolutionCode0
A Novel Framework for Image-to-image Translation and Image Compression0
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective0
An Educated Warm Start For Deep Image Prior-Based Micro CT ReconstructionCode0
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image RestorationCode1
Restormer: Efficient Transformer for High-Resolution Image RestorationCode1
SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive DerainingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72Unverified
2SRUDCAverage PSNR (dB)27.64Unverified
3RestormerAverage PSNR (dB)26.99Unverified
4WGWSNetAverage PSNR (dB)26.96Unverified
5DGUNetAverage PSNR (dB)26.92Unverified
6OKNetAverage PSNR (dB)26.33Unverified
7MIRNetAverage PSNR (dB)25.97Unverified
8PromptIRAverage PSNR (dB)25.9Unverified
9MPRNetAverage PSNR (dB)25.47Unverified
10MIRNetv2Average PSNR (dB)25.37Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42Unverified
2ESDNetPSNR22.12Unverified
#ModelMetricClaimedVerifiedStatus
1730L37Unverified